Dynamic selection of unmanned aerial vehicles

ABSTRACT

A device receives a request for a flight path from a first location to a second location in a region, and calculates the flight path based on the request and based on one or more of weather information, air traffic information, obstacle information, regulatory information, or historical information associated with the region. The device determines required capabilities for the flight path based on the request, and selects, from multiple UAVs, a particular UAV based on the required capabilities for the flight path and based on a ranking of the multiple UAVs. The device generates flight path instructions for the flight path, and provides the flight path instructions to the particular UAV to permit the particular UAV to travel from the first location to the second location via the flight path.

BACKGROUND

An unmanned aerial vehicle (UAV) is an aircraft without a human pilotaboard. A UAV's flight may be controlled either autonomously by onboardcomputers or by remote control of a pilot on the ground or in anothervehicle. A UAV is typically launched and recovered via an automaticsystem or an external operator on the ground. There are a wide varietyof UAV shapes, sizes, configurations, characteristics, etc. UAVs may beused for a growing number of civilian applications, such as policesurveillance, firefighting, security work (e.g., surveillance ofpipelines), surveillance of farms, commercial purposes, etc.

BRIEF DESCRIPTION OF THE DRAWINGS

FIGS. 1A and 1B are diagrams of an overview of an example implementationdescribed herein;

FIG. 2 is a diagram of an example environment in which systems and/ormethods described herein may be implemented;

FIG. 3 is a diagram of example components of one or more devices of FIG.2;

FIGS. 4A and 4B depict a flow chart of an example process fordynamically selecting a UAV for a flight path; and

FIGS. 5A-5F are diagrams of an example relating to the example processshown in FIGS. 4A and 4B.

DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS

The following detailed description refers to the accompanying drawings.The same reference numbers in different drawings may identify the sameor similar elements.

Some private companies propose using UAVs for rapid delivery oflightweight commercial products (e.g., packages), food, medicine, etc.Such proposals for UAVs may need to meet various requirements, such asfederal and state regulatory approval, public safety, reliability,individual privacy, operator training and certification, security (e.g.,hacking), payload thievery, logistical challenges, etc.

FIGS. 1A and 1B are diagrams of an overview of an example implementation100 described herein. In example implementation 100, assume that a firstuser device (e.g., user device A) is associated with a first user (e.g.,user A) that is located at an origination location (e.g., location A),as shown in FIG. 1A. Further, assume that user A wants to fly a UAV,selected from a pool or group of UAVs, from location A to a destinationlocation (e.g., location B) in order to deliver a package to a seconduser (e.g., user B) associated with a second user device (e.g., userdevice B). As further shown in FIG. 1A, a UAV platform or system may beassociated with data storage, and the UAV platform and the data storagemay communicate with networks, such as a wireless network, a satellitenetwork, and/or other networks. The networks may provide information tothe data storage, such as capability information associated with theUAVs (e.g., thrusts, battery life, etc. associated with the UAVs);weather information associated with a geographical region that includesgeographical locations of location A, location B, and locations betweenlocation A and location B; air traffic information associated with thegeographical region; obstacle information (e.g., buildings, mountains,etc.) associated with the geographical region; regulatory information(e.g., no-fly zones, government buildings, etc.) associated with thegeographical region; historical information (e.g., former flight paths,former weather, etc.) associated with the geographical region; etc.

As further shown in FIG. 1A, user A may instruct user device A togenerate a request for a flight path (e.g., from location A to locationB) for one of the UAVs in the pool, and to provide the request to theUAV platform. The request may include credentials (e.g., serial numbers,identifiers of universal integrated circuit cards (UICCs), etc.)associated with the UAVs in the pool. The UAV platform may utilize theUAV credentials to determine whether the UAVs in the pool areauthenticated for utilizing the UAV platform and/or one or more of thenetworks, and are registered with an appropriate authority (e.g., agovernment agency) for use. For example, the UAV platform may comparethe UAV credentials with UAV account information (e.g., informationassociated with authenticated and registered UAVs) provided in the datastorage to determine whether the UAVs in the pool are authenticated. Inexample implementation 100, assume that the UAVs in the pool areauthenticated by the UAV platform.

The UAV platform may calculate a flight path from location A to locationB based on the information (e.g., the weather information, the airtraffic information, etc. of the geographical region). As further shownin FIG. 1A, the UAV platform may determine required UAV capabilities forthe flight path based on the request for the flight path, and may storethe required UAV capabilities in the data storage. Prior to receivingthe request for the flight path, the UAV platform may assign differentweights to different capability information associated with the pool ofUAVs, and may calculate a score for each of the UAVs in the pool basedon the capability information and the assigned weights. The UAV platformmay rank the UAVs in the pool based on the scores (e.g., in ascendingorder, descending order, etc.), and may store the scores and therankings for the pool of UAVs in the data storage. When the required UAVcapabilities for the flight path are determined, the UAV platform mayretrieve the scores and the rankings for the pool of UAVs from the datastorage, as further shown in FIG. 1A.

As shown in FIG. 1B, the UAV platform may select a particular UAV, fromthe UAVs in the pool, based on the scores and the rankings for the UAVsin the pool and based on the required UAV capabilities for the flightpath. After selecting the selected UAV, the UAV platform may generateflight path instructions for the flight path. For example, the flightpath instructions may indicate that the selected UAV is to fly at analtitude of two-thousand (2,000) meters, for fifty (50) kilometers andfifty-five (55) minutes, in order to arrive at location B. The UAVplatform may provide the flight path instructions to the selected UAV(e.g., via one or more of the networks), as further shown in FIG. 1B.

The selected UAV may take off from location A, and may travel the flightpath based on the flight path instructions. While the selected UAV istraversing the flight path, one or more of the networks may receivefeedback from the selected UAV regarding the flight path (e.g., aboutchanging conditions, such as speed, weather conditions, duration, etc.).The selected UAV may traverse the flight path until the selected UAVarrives at location B. When the selected UAV arrives at location B, theselected UAV and/or user device B may generate a notification indicatingthat the selected UAV arrived safely at location B, and may provide thenotification to the UAV platform.

Systems and/or methods described herein may provide a platform thatenables UAVs to safely traverse flight paths from origination locationsto destination locations. The systems and/or methods may enable theplatform to determine flight paths for UAVs, and to automatically selectoptimal UAVs for traversing the determined flight paths, which mayincrease utilization of the UAVs. The automatic selection of optimalUAVs for traversing the determined flight paths may also reduce costsassociated with selecting UAVs for the determined flight paths.

FIG. 2 is a diagram of an example environment 200 in which systemsand/or methods described herein may be implemented. As illustrated,environment 200 may include user devices 210, UAVs 220, a UAV platform230, data storage 235, a wireless network 240, a satellite network 250,and other networks 260. Devices/networks of environment 200 mayinterconnect via wired connections, wireless connections, or acombination of wired and wireless connections.

User device 210 may include a device that is capable of communicatingover wireless network 240 with UAV 220, UAV platform 230, and/or datastorage 235. In some implementations, user device 210 may include aradiotelephone; a personal communications services (PCS) terminal thatmay combine, for example, a cellular radiotelephone with data processingand data communications capabilities; a smart phone; a personal digitalassistant (PDA) that can include a radiotelephone, a pager,Internet/intranet access, etc.; a laptop computer; a tablet computer; aglobal positioning system (GPS) device; a gaming device; or another typeof computation and communication device.

UAV 220 may include an aircraft without a human pilot aboard, and mayalso be referred to as an unmanned aircraft (UA), a drone, a remotelypiloted vehicle (RPV), a remotely piloted aircraft (RPA), or a remotelyoperated aircraft (ROA). In some implementations, UAV 220 may include avariety of shapes, sizes, configurations, characteristics, etc. for avariety of purposes and applications. In some implementations, UAV 220may include one or more sensors, such as electromagnetic spectrumsensors (e.g., visual spectrum, infrared, or near infrared cameras,radar systems, etc.); biological sensors; chemical sensors; etc. In someimplementations, UAV 220 may utilize one or more of the aforementionedsensors to sense (or detect) and avoid an obstacle in or near a flightpath of UAV 220.

In some implementations, UAV 220 may include a particular degree ofautonomy based on computational resources provided in UAV 220. Forexample, UAV 220 may include a low degree of autonomy when UAV 220 hasfew computational resources. In another example, UAV 220 may include ahigh degree of autonomy when UAV 220 has more computational resources(e.g., built-in control and/or guidance systems to perform low-levelhuman pilot duties, such as speed and flight-path stabilization,scripted navigation functions, waypoint following, etc.). Thecomputational resources of UAV 220 may combine information fromdifferent sensors to detect obstacles on the ground or in the air;communicate with one or more of networks 240-260 and/or other UAVs 220;determine an optimal flight path for UAV 220 based on constraints, suchas obstacles or fuel requirements; determine an optimal control maneuverin order to follow a given path or go from one location to anotherlocation; regulate a trajectory of UAV 220; etc. In someimplementations, UAV 220 may include a variety of components, such as apower source (e.g., an internal combustion engine, an electric battery,a solar-powered battery, etc.); a component that generates aerodynamiclift force (e.g., a rotor, a propeller, a rocket engine, a jet engine,etc.); computational resources; sensors; etc.

UAV platform 230 may include one or more personal computers, one or moreworkstation computers, one or more server devices, one or more virtualmachines (VMs) provided in a cloud computing network, or one or moreother types of computation and communication devices. In someimplementations, UAV platform 230 may be associated with a serviceprovider that manages and/or operates wireless network 240, satellitenetwork 250, and/or other networks 260, such as, for example, atelecommunication service provider, a television service provider, anInternet service provider, etc.

In some implementations, UAV platform 230 may receive, from user device210, a request for a flight path from an origination location to adestination location. UAV platform 230 may calculate the flight pathfrom the origination location to the destination location based on otherinformation (e.g., weather information, air traffic information, etc.),and may determine required UAV capabilities for the flight path based onthe request for the flight path. UAV platform 230 may assign differentweights to different capability information associated with a pool ofUAVs 220, and may calculate a score for each UAV 220 in the pool of UAVs220 based on the capability information and the assigned weights. UAVplatform 230 may rank UAVs 220, in the pool of UAVs 200, based on thescores (e.g., in ascending order, descending order, etc.), and mayselect a particular UAV 220, from the pool of UAVs 220, based on theranks and based on the required UAV capabilities for the flight path.After selecting the selected UAV 220, UAV platform 230 may generateflight path instructions for the flight path, and may provide the flightpath instructions to the selected UAV 220. UAV platform 230 may receivefeedback from the selected UAV 220, via networks 240-260, duringtraversal of the flight path by the selected UAV 220. UAV platform 230may modify the flight path instructions based on the feedback, and mayprovide the modified flight path instructions to the selected UAV 220.UAV platform 230 may receive a notification that the selected UAV 220arrived at the destination location when the selected UAV 220 lands atthe destination location.

In some implementations, UAV platform 230 may authenticate one or moreusers, associated with user device 210 and/or UAV 220, for utilizing UAVplatform 230, and may securely store authentication informationassociated with the one or more users. In some implementations, UAVplatform 230 may adhere to requirements to ensure that UAVs 220 safelytraverse flight paths, and may limit the flight paths of UAVs 220 toparticular safe zones (e.g., particular altitudes, particulargeographical locations, particular geo-fencing, etc.) to further ensuresafety.

Data storage 235 may include one or more storage devices that storeinformation in one or more data structures, such as databases, tables,lists, trees, etc. In some implementations, data storage 235 may storeinformation, such as UAV account information (e.g., serial numbers,model numbers, user names, etc. associated with UAVs 220); capabilityinformation associated with UAVs 220 (e.g., thrust, battery life, etc.associated with UAVs 220); weather information associated with ageographical region (e.g., precipitation amounts, wind conditions,etc.); air traffic information associated with the geographical region(e.g., commercial air traffic, other UAVs 220, etc.); obstacleinformation (e.g., buildings, mountains, towers etc.) associated withthe geographical region; regulatory information (e.g., no-fly zones,government buildings, etc.) associated with the geographical region;historical information (e.g., former flight paths, former weatherconditions, etc.) associated with the geographical region; etc. In someimplementations, data storage 235 may be included within UAV platform230.

Wireless network 240 may include a fourth generation (4G) cellularnetwork that includes an evolved packet system (EPS). The EPS mayinclude a radio access network (e.g., referred to as a long termevolution (LTE) network), a wireless core network (e.g., referred to asan evolved packet core (EPC) network), an Internet protocol (IP)multimedia subsystem (IMS) network, and a packet data network (PDN). TheLTE network may be referred to as an evolved universal terrestrial radioaccess network (E-UTRAN), and may include one or more base stations(e.g., cell towers). The EPC network may include an all-Internetprotocol (IP) packet-switched core network that supports high-speedwireless and wireline broadband access technologies. The EPC network mayallow user devices 210 and/or UAVs 220 to access various services byconnecting to the LTE network, an evolved high rate packet data (eHRPD)radio access network (RAN), and/or a wireless local area network (WLAN)RAN. The IMS network may include an architectural framework or network(e.g., a telecommunications network) for delivering IP multimediaservices. The PDN may include a communications network that is based onpacket switching. In some implementations, wireless network 240 mayprovide location information (e.g., latitude and longitude coordinates)associated with user devices 210 and/or UAVs 220. For example, wirelessnetwork 240 may determine a location of user device 210 and/or UAV 220based on triangulation of signals, generated by user device 210 and/orUAV 220 and received by multiple cell towers, with prior knowledge ofthe cell tower locations.

Satellite network 250 may include a space-based satellite navigationsystem (e.g., a global positioning system (GPS)) that provides locationand/or time information in all weather conditions, anywhere on or nearthe Earth where there is an unobstructed line of sight to four or moresatellites (e.g., GPS satellites). In some implementations, satellitenetwork 250 may provide location information (e.g., GPS coordinates)associated with user devices 210 and/or UAVs 220, enable communicationwith user devices 210 and/or UAVs 220, etc.

Each of other networks 260 may include a network, such as a local areanetwork (LAN), a wide area network (WAN), a metropolitan area network(MAN), a telephone network, such as the Public Switched TelephoneNetwork (PSTN) or a cellular network, an intranet, the Internet, a fiberoptic network, a cloud computing network, or a combination of networks.

The number of devices and/or networks shown in FIG. 2 is provided as anexample. In practice, there may be additional devices and/or networks,fewer devices and/or networks, different devices and/or networks, ordifferently arranged devices and/or networks than those shown in FIG. 2.Furthermore, two or more devices shown in FIG. 2 may be implementedwithin a single device, or a single device shown in FIG. 2 may beimplemented as multiple, distributed devices. Additionally, one or moreof the devices of environment 200 may perform one or more functionsdescribed as being performed by another one or more devices ofenvironment 200.

FIG. 3 is a diagram of example components of a device 300 that maycorrespond to one or more of the devices of environment 200. In someimplementations, one or more of the devices of environment 200 mayinclude one or more devices 300 or one or more components of device 300.As shown in FIG. 3, device 300 may include a bus 310, a processor 320, amemory 330, a storage component 340, an input component 350, an outputcomponent 360, and a communication interface 370.

Bus 310 may include a component that permits communication among thecomponents of device 300. Processor 320 may include a processor (e.g., acentral processing unit (CPU), a graphics processing unit (GPU), anaccelerated processing unit (APU), etc.), a microprocessor, and/or anyprocessing component (e.g., a field-programmable gate array (FPGA), anapplication-specific integrated circuit (ASIC), etc.) that interpretsand/or executes instructions. Memory 330 may include a random accessmemory (RAM), a read only memory (ROM), and/or another type of dynamicor static storage device (e.g., a flash memory, a magnetic memory, anoptical memory, etc.) that stores information and/or instructions foruse by processor 320.

Storage component 340 may store information and/or software related tothe operation and use of device 300. For example, storage component 340may include a hard disk (e.g., a magnetic disk, an optical disk, amagneto-optic disk, a solid state disk, etc.), a compact disc (CD), adigital versatile disc (DVD), a floppy disk, a cartridge, a magnetictape, and/or another type of computer-readable medium, along with acorresponding drive.

Input component 350 may include a component that permits device 300 toreceive information, such as via user input (e.g., a touch screendisplay, a keyboard, a keypad, a mouse, a button, a switch, amicrophone, etc.). Additionally, or alternatively, input component 350may include a sensor for sensing information (e.g., a global positioningsystem (GPS) component, an accelerometer, a gyroscope, an actuator,etc.). Output component 360 may include a component that provides outputinformation from device 300 (e.g., a display, a speaker, one or morelight-emitting diodes (LEDs), etc.).

Communication interface 370 may include a transceiver-like component(e.g., a transceiver, a separate receiver and transmitter, etc.) thatenables device 300 to communicate with other devices, such as via awired connection, a wireless connection, or a combination of wired andwireless connections. Communication interface 370 may permit device 300to receive information from another device and/or provide information toanother device. For example, communication interface 370 may include anEthernet interface, an optical interface, a coaxial interface, aninfrared interface, a radio frequency (RF) interface, a universal serialbus (USB) interface, a Wi-Fi interface, a cellular network interface, orthe like.

Device 300 may perform one or more processes described herein. Device300 may perform these processes in response to processor 320 executingsoftware instructions stored by a computer-readable medium, such asmemory 330 and/or storage component 340. A computer-readable medium isdefined herein as a non-transitory memory device. A memory deviceincludes memory space within a single physical storage device or memoryspace spread across multiple physical storage devices.

Software instructions may be read into memory 330 and/or storagecomponent 340 from another computer-readable medium or from anotherdevice via communication interface 370. When executed, softwareinstructions stored in memory 330 and/or storage component 340 may causeprocessor 320 to perform one or more processes described herein.Additionally, or alternatively, hardwired circuitry may be used in placeof or in combination with software instructions to perform one or moreprocesses described herein. Thus, implementations described herein arenot limited to any specific combination of hardware circuitry andsoftware.

The number and arrangement of components shown in FIG. 3 is provided asan example. In practice, device 300 may include additional components,fewer components, different components, or differently arrangedcomponents than those shown in FIG. 3. Additionally, or alternatively, aset of components (e.g., one or more components) of device 300 mayperform one or more functions described as being performed by anotherset of components of device 300.

FIGS. 4A and 4B depict a flow chart of an example process 400 fordynamically selecting a UAV for a flight path. In some implementations,one or more process blocks of FIGS. 4A and 4B may be performed by UAVplatform 230. In some implementations, one or more process blocks ofFIGS. 4A and 4B may be performed by another device or a group of devicesseparate from or including UAV platform 230, such as user device 210and/or UAV 220.

As shown in FIG. 4A, process 400 may include receiving a request for aflight path from a first location to a second location in a region(block 405). For example, UAV platform 230 may receive, from user device210, a request for a flight path from a first location to a secondlocation in a particular region. In some implementations, the requestfor the flight path may include a request for flight path instructionsfrom an origination location (e.g., a current location of a pool of UAVs220) to a destination location (e.g., a location in the particularregion). The origination location and the destination location may beprovided in the particular region. In some implementations, the pool ofUAVs 220 may be associated with UAV platform 230 and/or user(s)associated with user device 210. For example, user device 210 and thepool of UAVs 220 may be owned and/or operated by a delivery company, atelecommunication service provider, a television service provider, anInternet service provider, etc.

As further shown in FIG. 4A, process 400 may include calculating theflight path from the first location to the second location based onother information (block 410). For example, UAV platform 230 maycalculate the flight path from the origination location to thedestination location based on other information. In someimplementations, UAV platform 230 may calculate the flight path from theorigination location to the destination location based on aviationinformation associated with the particular region, such as the weatherinformation, the air traffic information, the obstacle information, theregulatory information, the historical information, etc. stored in UAVplatform 230 and/or data storage 235. In some implementations, UAVplatform 230 may determine whether the other information indicates thatUAVs 220 in the pool may safely complete the flight path from theorigination location to the destination location without stopping. IfUAV platform 230 determines that UAVs 220 in the pool cannot safelycomplete the flight path from the origination location to thedestination location without stopping (e.g., to recharge or refuel), UAVplatform 230 may determine one or more waypoints along the flight pathfor stopping and recharging or refueling.

In some implementations, UAV platform 230 may calculate the flight pathbased on the weather information. For example, UAV platform 230 maydetermine that, without weather issues, the flight path may take any UAV220 two hours to complete at an altitude of five-hundred meters. UAVplatform 230 may further determine that wind conditions at five-hundredmeters may create a headwind of fifty kilometers per hour on any UAV220, but that wind conditions at one-thousand meters may create atailwind of fifty kilometers per hour on any UAV 220. In such anexample, UAV platform 230 may alter the flight path from an altitude offive-hundred meters to an altitude of one-thousand meters (e.g., if anyUAV 220 is capable of reaching the altitude of one-thousand meters).Assume that the tailwind at the altitude of one-thousand metersdecreases the flight time from two hours to one hour and thirty minutes.Alternatively, UAV platform 230 may not alter the flight path, but theheadwind at the altitude of five-hundred meters may increase the flighttime from two hours to two hours and thirty minutes.

Additionally, or alternatively, UAV platform 230 may calculate theflight path based on the air traffic information. For example, UAVplatform 230 may determine that, without air traffic issues, the flightpath may take any UAV 220 two hours to complete at an altitude offive-hundred meters. UAV platform 230 may further determine that otherUAVs 220 are flying at the altitude of five-hundred meters based on theair traffic information, but that no other UAVs 220 are flying at analtitude of one-thousand meters. In such an example, UAV platform 230may alter the flight path from an altitude of five-hundred meters to analtitude of one-thousand meters. The altitude of one-thousand meters mayenable any UAV 220 to safely arrive at the location without thepossibility of colliding with the other UAVs 220. Alternatively, UAVplatform 230 may not alter the flight path, but the other UAVs 220flying at the altitude of five-hundred meters may increase thepossibility that any UAV 220 may collide with another UAV 220. UAVplatform 230 may then determine whether any UAV 220 is capable of safelyflying at the altitude of five-hundred meters without colliding withanother UAV 220.

Additionally, or alternatively, UAV platform 230 may calculate theflight path based on the obstacle information. For example, UAV platform230 may determine that, without obstacle issues, the flight path maytake any UAV 220 one hour to complete at an altitude of two-hundredmeters. UAV platform 230 may further determine that one or morebuildings are two-hundred meters in height based on the obstacleinformation, but that no other obstacles are greater than two-hundredmeters in height. In such an example, UAV platform 230 may alter theflight path from an altitude of two-hundred meters to an altitude ofthree-hundred meters. The altitude of three-hundred meters may enableany UAV 220 to safely arrive at the location without the possibility ofcolliding with the one or more buildings. Alternatively, UAV platform230 may not alter the altitude of the flight path, but may change theflight path to avoid the one or more buildings, which may increase theflight time from one hour to one hour and thirty minutes.

Additionally, or alternatively, UAV platform 230 may calculate theflight path based on the regulatory information. For example, UAVplatform 230 may determine that, without regulatory issues, the flightpath may take any UAV 220 one hour to complete at an altitude offive-hundred meters. UAV platform 230 may further determine that theflight path travels over a restricted facility based on the regulatoryinformation. In such an example, UAV platform 230 may change the flightpath to avoid flying over the restricted facility, which may increasethe flight time from one hour to one hour and thirty minutes.

Additionally, or alternatively, UAV platform 230 may calculate theflight path based on the historical information. For example, UAVplatform 230 may identify prior flight paths from the originationlocation to the destination location from the historical information,and may select one of the prior flight paths, as the flight path. Forexample, assume that UAV platform 230 identifies three prior flightpaths that include flight times of two hours, three hours, and fourhours, respectively. In such an example, UAV platform 230 may select, asthe flight path, the prior flight path with the flight time of twohours.

As further shown in FIG. 4A, process 400 may include determiningrequired UAV capabilities for the flight path based on the request forthe flight path (block 415). For example, UAV platform 230 may determinerequired UAV capabilities for executing the flight path based on therequest for the flight path. In some implementations, UAV platform 230may determine the required UAV capabilities based on the originationlocation, the destination location, and/or the particular regionassociated with the flight path. For example, UAV platform 230 maydetermine that the flight path requires UAV 220 to be available andlocated at or near the origination location, able to travel non-stop tothe destination location (e.g., located twenty kilometers from theorigination location), able to travel in the particular region, etc. Insuch an example, UAV platform 230 may determine that a UAV 220 capableof flying ten kilometers non-stop does not satisfy the required UAVcapabilities (e.g., since the destination location is located twentykilometers from the origination location), but that a UAV 220 capable offlying thirty kilometers non-stop satisfies the required UAVcapabilities.

In some implementations, UAV platform 230 may determine the required UAVcapabilities based on physical requirements (e.g., payload capacity,battery life, non-stop flying distance, etc. associated with UAV 220)associated with the flight path. For example, UAV platform 230 maydetermine that the flight path requires a UAV 220 that is capable ofcarrying a payload that weighs ten kilograms for a distance of twentykilometers non-stop. In such an example, UAV platform 230 may determinethat a UAV 220 capable of carrying payloads that weigh less than fivekilograms for a distance of ten kilometers non-stop does not satisfy therequired UAV capabilities. However, UAV platform 230 may determine thata UAV 220 capable of carrying payloads that weigh twenty kilograms for adistance of thirty kilometers non-stop satisfies the required UAVcapabilities.

In some implementations, UAV platform 230 may determine the required UAVcapabilities based on component requirements (e.g., sensors, networkgenerating components, etc. of UAV 220) associated with the flight path.For example, UAV platform 230 may determine that the flight pathrequires a UAV 220 that is capable of recording video images along theflight path. In such an example, UAV platform 230 may determine that aUAV 220 without a video camera does not satisfy the required UAVcapabilities, but that a UAV 220 with a video camera satisfies therequired UAV capabilities. In another example, UAV platform 230 maydetermine that the flight path requires a UAV 220 that is capable ofgenerating a wireless network hotspot (e.g., a mobile hotspot) along theflight path. In such an example, UAV platform 230 may determine that aUAV 220 without a mobile hotspot component does not satisfy the requiredUAV capabilities, but that a UAV 220 with a mobile hotspot componentsatisfies the required UAV capabilities.

In some implementations, UAV platform 230 may determine the required UAVcapabilities based on the aviation information associated with theparticular region, such as the weather information, the air trafficinformation, the obstacle information, the regulatory information, thehistorical information, etc. associated with the particular region. Forexample, assume that the weather information indicates that the flightpath requires traveling through a particular headwind of twentykilometers per hour. In such an example, UAV platform 230 may determinethat the flight path requires a UAV 220 that is capable of withstandingthe particular headwind. In another example, assume that the air trafficinformation indicates that the flight path requires traveling at aparticular altitude of one kilometer to avoid other air traffic. In suchan example, UAV platform 230 may determine that the flight path requiresa UAV 220 that is capable of traveling at the particular altitude.

As further shown in FIG. 4A, process 400 may include scoring UAVs, in apool of UAVs, based on capability information associated with the UAVs(block 420). For example, UAV platform 230 may retrieve, from datastorage 235, capability information for UAVs 220 in the pool of UAVs220. In some implementations, data storage 235 may include capabilityinformation associated with different components of UAVs 220, such asbattery life, thrusts provided by rotors, flight times associated withamounts of fuel, etc. In some implementations, UAV platform 230 mayutilize component information of UAVs 220 in the pool (e.g., indicatingthat UAVs 220 in the pool have particular types of batteries, engines,rotors, etc.) to retrieve the capability information for components ofUAVs 220 in the pool from data storage 235. For example, if a particularUAV 220 in the pool has a particular type of battery and a particulartype of rotor, UAV platform 230 may determine that the particular typeof battery of the particular UAV 220 may provide two hours of flighttime and that the particular type of rotor may enable the particular UAV220 to reach an altitude of one-thousand meters.

In some implementations, UAV platform 230 may assign different weightsto different capability information associated with UAVs 220 in thepool. In some implementations, UAV platform 230 may calculate a scorefor each of UAVs 220 in the pool based on the capability information andthe assigned weights. For example, assume that UAV platform 230 assignsa weight of 0.1 to battery lives of UAVs 220 in the pool, a weight of0.2 to rotor thrusts of UAVs 220 in the pool, and a weight of 0.5 to thesense and avoid capabilities of UAVs 220 in the pool. Further, assumethat UAV platform 230 calculates a score of 0.4 for a first UAV 220 inthe pool, a score of 0.7 for a second UAV 220 in the pool, and a scoreof 0.5 for a third UAV 220 in the pool.

As further shown in FIG. 4A, process 400 may include ranking the UAVS,in the pool of UAVs, based on the scores (block 425). For example, UAVplatform 230 may rank each UAV 220 in the pool based on a scorecalculated for each UAV 220 in the pool. In some implementations, UAVplatform 230 may rank UAVs 220 in the pool based on the scores inascending order, descending order, etc. For example, assume that UAVplatform 230 calculates a score of 0.4 for a first UAV 220 in the pool,a score of 0.7 for a second UAV 220 in the pool, and a score of 0.5 fora third UAV 220 in the pool. UAV platform 230 may rank UAVs 220 in thepool based on the scores (e.g., as (1) the second UAV 220, (2) the thirdUAV 220, and (3) the first UAV 220).

As further shown in FIG. 4A, process 400 may include selecting aparticular UAV, from the pool of UAVs, based on the rank and therequired UAV capabilities (block 430). For example, UAV platform 230 mayselect a particular UAV 220, from the pool of UAVs 220, based on therank associated with UAVs 220 in the pool and/or the required UAVcapabilities. In some implementations, UAV platform 230 may select, asthe particular UAV 220, a UAV 220 with a greatest ranking. For example,assume that UAV platform 230 calculates a score of 0.4 for a first UAV220 in the pool, a score of 0.7 for a second UAV 220 in the pool, and ascore of 0.5 for a third UAV 220 in the pool. UAV platform 230 may rankUAVs 220 in the pool based on the scores (e.g., as (1) the second UAV220, (2) the third UAV 220, and (3) the first UAV 220), and may selectthe second UAV 220 as the particular UAV 220 to traverse the flight pathbased on the ranking, since the second UAV 220 has the greatest score.

Additionally, or alternatively, UAV platform 230 may select theparticular UAV 220, from the pool of UAVs 220, based on the required UAVcapabilities. For example, UAV platform 230 may select the particularUAV 220, from UAVs 220 in the pool, when the particular UAV 220 iscapable of flying a distance associated with the flight path, in weatherconditions (e.g., specified by the weather information), withoutcolliding with air traffic and/or obstacles (e.g., specified by the airtraffic information and the obstacle information), and without violatingany regulations (e.g., specified by the regulatory information). In someimplementations, UAV platform 230 may determine that multiple UAVs 220,from UAVs 220 in the pool, satisfy the required UAV capabilities, andmay select, as the particular UAV 220, one of the multiple UAVs 220 thatis capable of traversing the flight path in the most efficient manner(e.g., in a shortest distance, in a shortest amount of time, using theleast amount of resources, etc.).

As further shown in FIG. 4A, process 400 may include generating flightpath instructions for the flight path (block 435). For example, UAVplatform 230 may generate flight path instructions for the flight path.In some implementations, the flight path instructions may includespecific altitudes for the selected UAV 220 between fixed geographiccoordinates (e.g., a first location and a second location); navigationalinformation (e.g., travel east for three kilometers, then north for twokilometers, etc.); expected weather conditions (e.g., headwinds,tailwinds, temperatures, etc.); network information (e.g., locations ofbase stations of wireless network 240); timing information (e.g., whento take off, when to perform certain navigational maneuvers, etc.);waypoint information (e.g., locations where the selected UAV 220 maystop and recharge or refuel); etc. For example, the flight pathinstructions may include information that instructs the selected UAV 220to fly forty-five degrees northeast for ten kilometers and at analtitude of five-hundred meters, then fly three-hundred and fifteendegrees northwest for ten kilometers and at an altitude of four-hundredmeters, etc.

As shown in FIG. 4B, process 400 may include providing the flight pathinstructions to the selected UAV (block 440). For example, UAV platform230 may provide the flight path instructions to the selected UAV 220. Insome implementations, the selected UAV 220 may utilize the flight pathinstructions to travel via the flight path. For example, the selectedUAV 220 may take off at a time specified by the flight pathinstructions, may travel a route and at altitudes specified by theflight path instructions, may detect and avoid any obstacles encounteredin the flight path, etc. until the selected UAV 220 arrives at thedestination location.

In some implementations, if the selected UAV 220 includes sufficientcomputational resources (e.g., a sufficient degree of autonomy), theselected UAV 220 may utilize information provided by the flight pathinstructions to calculate a flight path for the selected UAV 220 and togenerate flight path instructions. In such implementations, the flightpath instructions provided by UAV platform 230 may include less detailedinformation, and the selected UAV 220 may determine more detailed flightpath instructions via the computational resources of the selected UAV220.

As further shown in FIG. 4B, process 400 may include receiving feedbackfrom the selected UAV, via network(s), during traversal of the flightpath by the selected UAV (block 445). For example, while the selectedUAV 220 is traveling along the flight path in accordance with the flightpath instructions, the selected UAV 220 may provide feedback to UAVplatform 230 via one or more of networks 240-260, and UAV platform 230may receive the feedback. In some implementations, the feedback mayinclude information received by sensors of the selected UAV 220, such asvisual information received from electromagnetic spectrum sensors of theselected UAV 220 (e.g., images of obstacles), temperature information,wind conditions, etc. In some implementations, the selected UAV 220 mayutilize such feedback to detect and avoid any unexpected obstaclesencountered by the selected UAV 220 during traversal of the flight path.For example, if the selected UAV 220 detects another UAV 220 in theflight path, the selected UAV 220 may alter the flight path to avoidcolliding with the other UAV 220.

As further shown in FIG. 4B, process 400 may include determining whetherto modify the flight path based on the feedback from the selected UAV(block 450). For example, UAV platform 230 may determine whether tomodify the flight path based on the feedback received from the selectedUAV 220. In some implementations, UAV platform 230 may determine to notmodify the flight path if the feedback indicates that the selected UAV220 will safely arrive at the destination location. In someimplementations, UAV platform 230 may determine to modify the flightpath if the feedback indicates that the selected UAV 220 is in danger ofcolliding with an obstacle (e.g., another UAV 220, a building, anairplane, etc.). In such implementations, UAV platform 230 may modifythe flight path so that the selected UAV 220 avoids colliding with theobstacle and/or remains a safe distance from the obstacle.

In some implementations, UAV platform 230 may determine to modify theflight path if the feedback indicates that the weather conditions mayprevent the selected UAV 220 from reaching the destination location. Forexample, the wind conditions may change and cause the flight time of theselected UAV 220 to increase to a point where the battery of theselected UAV 220 will be depleted before the selected UAV 220 reachesthe destination location. In such an example, UAV platform 230 maymodify the flight path so that the selected UAV 220 either stops torecharge or changes altitude to improve wind conditions. In anotherexample, rain or ice may increase the weight of the selected UAV 220and/or its payload and may cause the battery of the selected UAV 220 towork harder to a point where the battery of the selected UAV 220 will bedepleted before the selected UAV 220 reaches the destination location.In such an example, UAV platform 230 may modify the flight path so thatthe selected UAV 220 stops to recharge before completing the flightpath.

As further shown in FIG. 4B, if the flight path is to be modified (block450—YES), process 400 may include generating modified flight pathinstructions based on the feedback (block 455). For example, if UAVplatform 230 determines that the flight path is be modified, UAVplatform 230 may modify the flight path based on the feedback (e.g., asdescribed above). In some implementations, UAV platform 230 may generatemodified flight path instructions for the modified flight path based onthe feedback. In some implementations, the modified flight pathinstructions may include the features of flight path instructions, butmay be modified based on the feedback. For example, the flight pathinstructions may be modified so that the selected UAV 220 avoidscolliding with an obstacle and/or remains a safe distance from theobstacle, stops to recharge, changes altitude to improve windconditions, etc.

As further shown in FIG. 4B, process 400 may include providing themodified flight path instructions to the selected UAV (block 460). Forexample, UAV platform 230 may provide the modified flight pathinstructions to the selected UAV 220. In some implementations, theselected UAV 220 may utilize the modified flight path instructions totravel along the modified flight path. For example, the selected UAV 220may adjust a route and altitudes according to the modified flight pathinstructions, may detect and avoid any obstacles encountered in themodified flight path, etc. until the selected UAV 220 arrives at thedestination location. In some implementations, the selected UAV 220 maycontinue to provide further feedback to UAV platform 230 duringtraversal of the modified flight path, and UAV platform 230 may or maynot further modify the flight path based on the further feedback.

As further shown in FIG. 4B, if the flight path is not to be modified(block 450—NO), process 400 may include receiving a notification thatthe selected UAV arrived at the second location (block 465). Forexample, if the feedback indicates that the selected UAV 220 will safelyarrive at the destination location, UAV platform 230 may determine thatthe flight path need not be modified. In some implementations, theselected UAV 220 may continue along the flight path based on the flightpath instructions until the selected UAV 220 arrives at the destinationlocation. When the selected UAV 220 arrives at the destination location,the selected UAV 220 may provide a notification to UAV platform 230, viaone or more of networks 240-260. In some implementations, thenotification may indicate that the selected UAV 220 has safely arrivedat the destination location.

Although FIGS. 4A and 4B shows example blocks of process 400, in someimplementations, process 400 may include additional blocks, fewerblocks, different blocks, or differently arranged blocks than thosedepicted in FIGS. 4A and 4B. Additionally, or alternatively, two or moreof the blocks of process 400 may be performed in parallel.

FIGS. 5A-5F are diagrams of an example 500 relating to example process400 shown in FIGS. 4A and 4B. Assume that a first user device 210 (e.g.,a tablet 210) is associated with a first user (e.g., an employee at adelivery company) that is located at an origination location (e.g.,Washington, D.C.), as shown in FIG. 5A. Further, assume that a seconduser device 210 (e.g., a computer 210) is associated with a second user(e.g., Bob) that is located at a destination location (e.g., Fairfax,Va.), and that Bob has instructed computer 210 to request delivery of apackage to Fairfax, Va. For example, computer 210 may inform tablet 210(e.g., via one or more servers associated with the delivery company) andthe employee that the package is to be delivered to Bob as soon aspossible. Further, assume that the employee wants to utilize one UAV220, from a pool 505 of UAVs 220, to fly the package from Washington,D.C. to Fairfax, Va. in order to deliver the package to Bob.

As further shown in FIG. 5A, UAV platform 230 and data storage 235 maycommunicate with wireless network 240, satellite network 250, and/orother networks 260. One or more of networks 240-260 may provide, to datastorage 235, information 510, such as capability information associatedwith UAVs 220 in pool 505, weather information associated with ageographical region (e.g., that includes a geographical location ofWashington, D.C., a geographical location of Fairfax, Va., andgeographical locations between Washington and Fairfax), air trafficinformation associated with the geographical region, obstacleinformation associated with the geographical region, regulatoryinformation associated with the geographical region, historicalinformation associated with the geographical region, etc.

As further shown in FIG. 5A, the employee may instruct tablet 210 togenerate a request 515 for a flight path (e.g., from Washington, D.C. toFairfax, Va.) for one of UAVs 220 in pool 505, and to provide request515 to UAV platform 230. Request 515 may include credentials (e.g.,serial numbers, identifiers of UICCs, etc.) associated with UAVs 220 inpool 505, or the credentials may be provided separately from request 515to UAV platform 230. UAV platform 230 may utilize the credentials todetermine whether one or more UAVs 220 in pool 505 are authenticated forutilizing UAV platform 230 and/or one or more of networks 240-260, andare registered with an appropriate authority for use. For example, UAVplatform 230 may compare the credentials with information provided indata storage 235 in order to determine whether one or more UAVs 220 inpool 505 are authenticated for utilizing UAV platform 230 and/or one ormore of networks 240-260, and are registered with an appropriateauthority. Assume that all UAVs 220 in pool 505 are authenticated and/orregistered.

UAV platform 230 may calculate a flight path from Washington, D.C. toFairfax, Va. based on information 510 (e.g., weather information, airtraffic information, obstacle information, regulatory information,historical information, etc.) provided in data storage 235. For example,assume that the weather information indicates that the wind is tenkilometers per hour from the west and that it is raining; the airtraffic information indicates that a jet is at an altitude often-thousand meters and another UAV 220 is at an altitude offive-hundred meters; the obstacle information indicates that a mountainis two kilometers in height and a building is five-hundred meters inheight; the regulatory information indicates that there is a no-fly zoneover a government building; and the historical information indicatesthat a historical flight path had a duration of thirty minutes and analtitude of one-thousand meters. UAV platform 230 may calculate theflight path from Washington, D.C. to Fairfax, Va. based on suchinformation.

As further shown in FIG. 5A, UAV platform 230 may determine required UAVcapabilities 520 for the requested flight based on request 515. Forexample, UAV platform 230 may determine that required UAV capabilities520 include flying a package that weighs ten kilograms from Washington,D.C. to Fairfax, Va. non-stop. UAV platform 230 may provide required UAVcapabilities 520 to data storage 235 (e.g., for storage).

UAV platform 230 may assign different weights to different capabilityinformation associated with UAVs 220 in pool 505, and may calculate ascore for each UAV 220 in pool 505 based on the assigned weights. UAVplatform 230 may rank UAVs 220 in pool 505 based on the scores, and mayprovide the ranking and the scores of UAVs 220 in pool 550 to datastorage 235 (e.g., for storage). UAV platform 230 may retrieve theranking and the scores of UAVs 220 in pool 550 from data storage 235, asindicated by reference number 525 in FIG. 5B. UAV platform 230 mayselect a particular UAV 220 (e.g., referred to as selected UAV 530 inFIG. 5B), from UAVs 220 in pool 505, based on the ranking and/or basedon required UAV capabilities 520. Selected UAV 530 may be capable offlying a package that weighs ten kilograms from Washington, D.C. toFairfax, Va. non-stop.

The calculated flight path from Washington, D.C. to Fairfax, Va. may bedepicted by reference number 535 in FIG. 5C. As further shown in FIG.5C, UAV platform 230 may generate flight path instructions 540 forflight path 535. Flight path instructions 540 may include, for example,information instructing the selected UAV 530 to fly north at zerodegrees for ten kilometers, then northeast at forty degrees for threekilometers, at an altitude of one-thousand meters, etc. UAV platform 230may provide flight path instructions 540 to the selected UAV 530 via oneor more of networks 240-260. The package may be attached to or providedin the selected UAV 530 (e.g., by the employee). The selected UAV 530may take off from Washington, D.C. with the package, and may travelflight path 535 based on flight path instructions 540.

While the selected UAV 530 is traveling along flight path 535, one ormore of networks 240-260 may receive feedback 545 from the selected UAV530 regarding traversal of flight path 535 by the selected UAV 530(e.g., changing conditions, such as speed, weather conditions, duration,etc.), as shown in FIG. 5D. Assume that the selected UAV 530 senses badweather (e.g., heavy rain) along flight path 535, and providesinformation about the bad weather to UAV platform 230 (e.g., viafeedback 545). UAV platform 230 and/or the selected UAV 530 maycalculate a modified flight path 550 that enables the selected UAV 530to avoid and/or remain a safe distance from the bad weather. UAVplatform 230 and/or the selected UAV 530 may generate modified flightpath instructions 555 for modified flight path 550. UAV platform 230 mayprovide modified flight path instructions 555 to selected UAV 530 (e.g.,via one or more of networks 240-260), and the selected UAV 530 maytravel modified flight path 550, based on modified flight pathinstructions 555, until the selected UAV 530 arrives at Fairfax, Va.

As further shown in FIG. 5D, when the selected UAV 530 arrives atFairfax, Va., the selected UAV 530 may leave the package at a locationwhere Bob may retrieve the package. The selected UAV 530 and/or computer210 (e.g., via Bob's input or detection of the presence of the selectedUAV 530) may generate a notification 560 indicating that the selectedUAV 530 and the package arrived safely at a particular location inFairfax, Va., and may provide notification 560 to UAV platform 230.

As shown in FIG. 5E, assume that a particular UAV 220 (e.g., referred toas UAV 565) includes a mobile hotspot component. The mobile hotspotcomponent may enable UAV 565 to generate a mobile hotspot 570 for aparticular area (e.g., at a stadium during an event to provideadditional coverage for the event, in remote areas that do not includecell towers, for people located in remote areas, etc.). For example, UAV565 may fly to the particular area, and may hover above the particulararea. The mobile hotspot component of UAV 565 may generate mobilehotspot 570, such that UAV 565 may act as a network access point foruser devices 210, other UAVs 220, etc.

As further shown in FIG. 5E, a battery of UAV 565 may be running low onpower, and UAV 565 may provide, to UAV platform 230, feedback 575indicating that the battery of UAV 565 is running low. UAV platform 230may receive feedback 575, and may determine that UAV 565 needs to bereplaced with one of UAVs 220 in pool 505 in order to maintain mobilehotspot 570. UAV platform 230 provide, to tablet 210, a message 580indicating that UAV platform 230 is going to replace UAV 565 with one ofUAVs 220 in pool 505. As further shown in FIG. 5E, assume that UAVplatform 230 selects a particular UAV 220 (e.g., referred to as selectedUAV 585), from UAVs 220 in pool 505. For example, UAV platform 230 mayscore and rank UAVs 220 in pool 505 based on whether UAVs 220 include amobile hotspot component, battery life of UAVs 220, etc. Selected UAV585 may be ranked the highest in pool 505 since selected UAV 585includes a mobile hotspot component and has the greatest battery life ofUAVs 220 in pool 505 (e.g., that include mobile hotspot components).

As shown in FIG. 5F, UAV platform 230 may calculate a flight path 590,for the selected UAV 585, from Washington, D.C. to the particular area,and may generate flight path instructions 595 for flight path 590. UAVplatform 230 may provide flight path instructions 595 to the selectedUAV 585 via one or more of networks 240-260. The selected UAV 585 maytake off from Washington, D.C., and may travel flight path 590 based onflight path instructions 595. When the selected UAV 585 arrives at theparticular area, the mobile hotspot component of the selected UAV 585may generate mobile hotspot 570 for the particular area, as furthershown in FIG. 5F. UAV platform 230 may instruct UAV 565 to return toWashington, D.C. so that UAV 565 may recharge the low battery.

As indicated above, FIGS. 5A-5F are provided merely as an example. Otherexamples are possible and may differ from what was described with regardto FIGS. 5A-5F.

Systems and/or methods described herein may provide a platform thatenables UAVs to safely traverse flight paths from origination locationsto destination locations. The systems and/or methods may enable theplatform to determine flight paths for UAVs, and to automatically selectoptimal UAVs for traversing the determined flight paths, which mayincrease utilization of the UAVs. The automatic selection of optimalUAVs for traversing the determined flight paths may also reduce costsassociated with selecting UAVs for the determined flight paths.

To the extent the aforementioned implementations collect, store, oremploy personal information provided by individuals, it should beunderstood that such information shall be used in accordance with allapplicable laws concerning protection of personal information.Additionally, the collection, storage, and use of such information maybe subject to consent of the individual to such activity, for example,through “opt-in” or “opt-out” processes as may be appropriate for thesituation and type of information. Storage and use of personalinformation may be in an appropriately secure manner reflective of thetype of information, for example, through various encryption andanonymization techniques for particularly sensitive information.

The foregoing disclosure provides illustration and description, but isnot intended to be exhaustive or to limit the implementations to theprecise form disclosed. Modifications and variations are possible inlight of the above disclosure or may be acquired from practice of theimplementations.

A component is intended to be broadly construed as hardware, firmware,or a combination of hardware and software.

User interfaces may include graphical user interfaces (GUIs) and/ornon-graphical user interfaces, such as text-based interfaces. The userinterfaces may provide information to users via customized interfaces(e.g., proprietary interfaces) and/or other types of interfaces (e.g.,browser-based interfaces, etc.). The user interfaces may receive userinputs via one or more input devices, may be user-configurable (e.g., auser may change the sizes of the user interfaces, information displayedin the user interfaces, color schemes used by the user interfaces,positions of text, images, icons, windows, etc., in the user interfaces,etc.), and/or may not be user-configurable. Information associated withthe user interfaces may be selected and/or manipulated by a user (e.g.,via a touch screen display, a mouse, a keyboard, a keypad, voicecommands, etc.).

It will be apparent that systems and/or methods, as described herein,may be implemented in many different forms of software, firmware, andhardware in the implementations illustrated in the figures. The actualsoftware code or specialized control hardware used to implement thesesystems and/or methods is not limiting of the implementations. Thus, theoperation and behavior of the systems and/or methods were describedwithout reference to the specific software code—it being understood thatsoftware and control hardware can be designed to implement the systemsand/or methods based on the description herein.

Even though particular combinations of features are recited in theclaims and/or disclosed in the specification, these combinations are notintended to limit the disclosure of possible implementations. In fact,many of these features may be combined in ways not specifically recitedin the claims and/or disclosed in the specification. Although eachdependent claim listed below may directly depend on only one claim, thedisclosure of possible implementations includes each dependent claim incombination with every other claim in the claim set.

No element, act, or instruction used herein should be construed ascritical or essential unless explicitly described as such. Also, as usedherein, the articles “a” and “an” are intended to include one or moreitems, and may be used interchangeably with “one or more.” Furthermore,as used herein, the term “set” is intended to include one or more items,and may be used interchangeably with “one or more.” Where only one itemis intended, the term “one” or similar language is used. Also, as usedherein, the terms “has,” “have,” “having,” or the like are intended tobe open-ended terms. Further, the phrase “based on” is intended to mean“based, at least in part, on” unless explicitly stated otherwise.

1. A method for enabling unmanned aerial vehicles to traverse flightpaths from origination locations to destination locations, the methodcomprising: receiving, by a device, a request for a flight path from afirst geographical location to a second geographical location in aregion; calculating, by the device, the flight path from the firstgeographical location to the second geographical location based on therequest for the flight path and based on one or more of weatherinformation, air traffic information, obstacle information, regulatoryinformation, or historical information associated with the region;determining, by the device, required capabilities for the flight pathbased on the request for the flight path; selecting, by the device andfrom a plurality of unmanned aerial vehicles, a particular unmannedaerial vehicle based on the required capabilities for the flight pathand based on a ranking of the plurality of unmanned aerial vehicles;generating, by the device, flight path instructions for the flight path;and providing, by the device, the flight path instructions to theparticular unmanned aerial vehicle to permit the particular unmannedaerial vehicle to travel from the first geographical location to thesecond geographical location via the flight path.
 2. The method of claim1, where determining the required capabilities for the flight pathcomprises at least one of: determining the required capabilities for theflight path based on the first geographical location and the secondgeographical location; determining the required capabilities for theflight path based on component requirements associated with the flightpath; determining the required capabilities for the flight path based onphysical requirements associated with the flight path; or determiningthe required capabilities for the flight path based on the one or moreof the weather information, the air traffic information, the obstacleinformation, the regulatory information, or the historical informationassociated with the region.
 3. The method of claim 1, where the rankingof the plurality of unmanned aerial vehicles is determined prior toreceiving the request for the flight path.
 4. The method of claim 1,where selecting the particular unmanned aerial vehicle comprises:assigning weights to capability information associated with theplurality of unmanned aerial vehicles; calculating a score, for each ofthe plurality of unmanned aerial vehicles, based on the assignedweights; and selecting the particular unmanned aerial vehicle, from theplurality of unmanned aerial vehicles, based on the calculated scoresand based on the required capabilities for the flight path.
 5. Themethod of claim 4, where selecting the particular unmanned aerialvehicle comprises: determining the ranking of the plurality of unmannedaerial vehicles based on the calculated scores; and selecting theparticular unmanned aerial vehicle, from the plurality of unmannedaerial vehicles, based on the ranking of the plurality of unmannedaerial vehicles.
 6. The method of claim 4, where different weights areassigned to different types of the capability information.
 7. The methodof claim 1, where the particular unmanned aerial vehicle includes amobile hotspot component that permits the particular unmanned aerialvehicle to generate a mobile hotspot at the second geographicallocation.
 8. A system for enabling unmanned aerial vehicles to traverseflight paths from origination locations to destination locations, thesystem comprising: one or more devices to: receive a request for aflight path from a first geographical location to a second geographicallocation in a region; calculate the flight path from the firstgeographical location to the second geographical location based on therequest for the flight path and based on: one or more of air trafficinformation, regulatory information, or historical informationassociated with the region, and one or more of weather information orobstacle information; determine required capabilities for the flightpath based on the request for the flight path; select, from a pluralityof unmanned aerial vehicles, a particular unmanned aerial vehicle basedon the required capabilities for the flight path and based on a rankingof the plurality of unmanned aerial vehicles; generate flight pathinstructions for the flight path; and provide the flight pathinstructions to the particular unmanned aerial vehicle to permit theparticular unmanned aerial vehicle to travel from the first geographicallocation to the second geographical location via the flight path.
 9. Thesystem of claim 8, where, when determining the required capabilities forthe flight path, the one or more devices are to at least one of:determine the required capabilities for the flight path based on thefirst geographical location and the second geographical location;determine the required capabilities for the flight path based oncomponent requirements associated with the flight path; determine therequired capabilities for the flight path based on physical requirementsassociated with the flight path; or determine the required capabilitiesfor the flight path based on the one or more of the weather information,the air traffic information, the obstacle information, the regulatoryinformation, or the historical information associated with the region.10. The system of claim 8, where the ranking of the plurality ofunmanned aerial vehicles is determined prior to receiving the requestfor the flight path.
 11. The system of claim 8, where, when selectingthe particular unmanned aerial vehicle, the one or more devices are to:assign weights to capability information associated with the pluralityof unmanned aerial vehicles; calculate a score, for each of theplurality of unmanned aerial vehicles, based on the assigned weights;and select the particular unmanned aerial vehicle, from the plurality ofunmanned aerial vehicles, based on the calculated scores and based onthe required capabilities for the flight path.
 12. The system of claim11, where, when selecting the particular unmanned aerial vehicle, theone or more devices are to: determine the ranking of the plurality ofunmanned aerial vehicles based on the calculated scores; and select theparticular unmanned aerial vehicle, from the plurality of unmannedaerial vehicles, based on the ranking of the plurality of unmannedaerial vehicles.
 13. The system of claim 11, where different weights areassigned to different types of the capability information.
 14. Thesystem of claim 8, where the particular unmanned aerial vehicle includesa mobile hotspot component and the one or more devices are to: instructthe particular unmanned aerial vehicle to travel to the secondgeographical location and generate a mobile hotspot at the secondgeographical location.
 15. A computer-readable medium for storinginstructions for enabling unmanned aerial vehicles to traverse flightpaths from origination locations to destination locations, theinstructions comprising: one or more instructions that, when executed byone or more processors of a device, cause the one or more processors to:receive a request for a flight path from a first geographical locationto a second geographical location in a region; calculate the flight pathfrom the first geographical location to the second geographical locationbased on the request for the flight path and based on one or more ofweather information, air traffic information, obstacle information,regulatory information, or historical information associated with theregion; determine required capabilities for the flight path based on therequest for the flight path; select, from a plurality of unmanned aerialvehicles, a particular unmanned aerial vehicle based on the requiredcapabilities for the flight path and based on a ranking of the pluralityof unmanned aerial vehicles; generate flight path instructions for theflight path; and provide the flight path instructions to the particularunmanned aerial vehicle to permit the particular unmanned aerial vehicleto travel from the first geographical location to the secondgeographical location via the flight path.
 16. The computer-readablemedium of claim 15, where the instructions to determine the requiredcapabilities for the flight path comprise: one or more instructionsthat, when executed by the one or more processors, cause the one or moreprocessors to at least one of: determine the required capabilities forthe flight path based on the first geographical location and the secondgeographical location; determine the required capabilities for theflight path based on component requirements associated with the flightpath; determine the required capabilities for the flight path based onphysical requirements associated with the flight path; or determine therequired capabilities for the flight path based on the one or more ofthe weather information, the air traffic information, the obstacleinformation, the regulatory information, or the historical informationassociated with the region.
 17. The computer-readable medium of claim15, where the ranking of the plurality of unmanned aerial vehicles isdetermined prior to receiving the request for the flight path.
 18. Thecomputer-readable medium of claim 15, where the instructions to selectthe particular unmanned aerial vehicle comprise: one or moreinstructions that, when executed by the one or more processors, causethe one or more processors to: assign weights to capability informationassociated with the plurality of unmanned aerial vehicles; calculate ascore, for each of the plurality of unmanned aerial vehicles, based onthe assigned weights; and select the particular unmanned aerial vehicle,from the plurality of unmanned aerial vehicles, based on the calculatedscores and based on the required capabilities for the flight path. 19.The computer-readable medium of claim 18, where the instructions toselect the particular unmanned aerial vehicle comprise: one or moreinstructions that, when executed by the one or more processors, causethe one or more processors to: determine the ranking of the plurality ofunmanned aerial vehicles based on the calculated scores; and select theparticular unmanned aerial vehicle, from the plurality of unmannedaerial vehicles, based on the ranking of the plurality of unmannedaerial vehicles.
 20. The computer-readable medium of claim 15, where theinstructions further comprise: one or more instructions that, whenexecuted by the one or more processors, cause the one or more processorsto at least one of: instruct the particular unmanned aerial vehicle totravel to the second geographical location and generate a mobile hotspotat the second geographical location.